George Mason University
  Department of Computer Science

CS 780 - Data Mining for Multimedia Data

Dr. Jessica Lin

Fall 2013

 

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 News & Announcements
  8/30: If you added the class after 8/25, or if you have not received a Welcome email from Piazza, please let me know.
9/27: HW1 posted. Due date 10/10.
10/21: HW2 posted, with dataset. Due date 11/14. Note: HW2 will weigh more than HW1.
10/21: Project description posted
10/29: Midterm topics
12/8: Final topics

Course Description

This course covers advanced techniques for managing, searching, and mining of various types of data such as text, web links, images, time series, video, and audio. Issues related to handling such data will be discussed, including feature selection, high dimensional indexing, interactive search and information retrieval, pattern discovery, and scalability.

Instructor

Dr. Jessica Lin 

Office: Engineering Building, Room 4419
Phone: 703-993-4693
Email: jessica [AT] cs [DOT] gmu [DOT] edu
Office Hours: Tuesday/Thursday 3-4pm

Classes

Thursday
4:30-7:10pm
Innovation Hall 206

Prerequisite

INFS 755 or CS 659 (previously CS 750) or equivalent data mining course, or permission of instructor. Some programming skills required.

Textbooks

Required 

You will be given reading materials during the class.

Optional

Data Mining: Concepts and Techniques, 2nd Edition, Morgan Kauffmann Publishers, March 2006. ISBN 1-55860-901-6.

Grading

Class Participation: 5%
Assignments: 25%
Midterm: 20%
Project: 30%
Take-home Final: 20%

Honor Code Statement

Please be familiar with the GMU Honor Code. In addition, the CS department has its own Honor Code policies. Any deviation from this is considered an Honor Code violation. 

Disability Accommodations

If you are a student with a disability and you need academic accommodations, please see me and contact the Office of Disability Services (ODS) at 993-2474, http://ods.gmu.edu. All academic accommodations must be arranged through the ODS.

Useful Resources

Tentative Schedule


No Dates Topics Slides Reading Assignments/Notes
1 8/29 Introduction / Data Mining Review I
Data Mining Review 1
 
2 9/5 Data Mining Review II
 Data Mining Review 2
 
3 9/12 Time Series I
Time Series 1
Mining Time Series Data
4 9/19 Time Series II
Time Series 2
 
5 9/26 Time Series III
Time Series 3
 HW1
6 10/3 Text Mining I
 Text 1
See reading assignment at end of slides
7 10/10 Text Mining II
 Text 2
 
8 10/17 Web Mining I
 Web
 
9 10/24 Web Mining II/Midterm review
  HW2 posted (dataset)
Project posted
10 10/31 Midterm    
11 11/7 Social Media Mining I
Sentiment Anlysis   Proposal due
12 11/14 Social Media Mining II
Social Network  HW2 due
13 11/21 Image
 Image
 
14 11/28 Thanksgiving    
15 12/5 Project Presentation    
16 12/12 Final